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Part of book or chapter of book
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https://doi.org/10.1007/bfb005...
Part of book or chapter of book . 1998 . Peer-reviewed
Data sources: Crossref
DBLP
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On the performance of signature schemes based on elliptic curves

Authors: De Win, Erik; Mister, Serge; Preneel, Bart; Wiener, Michael;

On the performance of signature schemes based on elliptic curves

Abstract

This paper describes a fast software implementation of the elliptic curve version of DSA, as specified in draft standard documents ANSI X9.62 and IEEE P1363. We did the implementations for the fields GF(2n), using a standard basis, and GF(p). We discuss various design decisions that have to be made for the operations in the underlying field and the operations on elliptic curve points. In particular, we conclude that it is a good idea to use projective coordinates for GF(p), but not for GF(2n). We also extend a number of exponentiation algorithms, that result in considerable speed gains for DSA, to ECDSA, using a signed binary representation. Finally, we present timing results for both types of fields on a PPro-200 based PC, for a C/C++ implementation with small assembly-language optimizations, and make comparisons to other signature algorithms, such as RSA and DSA. We conclude that for practical sizes of fields and moduli, GF(p) is roughly twice as fast as GF(2n). Furthermore, the speed of ECDSA over GF(p) is similar to the speed of DSA; it is approximately 7 times faster than RSA for signing, and 40 times slower than RSA for verification (with public exponent 3).

Country
Belgium
Keywords

cosic

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    55
    popularity
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    Top 10%
    influence
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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 10%
Top 1%
Top 10%
Green